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Graph Attention Networks
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Graph Attention Networks

Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
    GNN
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Papers citing "Graph Attention Networks"

50 / 6,877 papers shown
Title
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning
When Heterophily Meets Heterogeneous Graphs: Latent Graphs Guided Unsupervised Representation Learning
Zhixiang Shen
Zhao Kang
83
4
0
01 Sep 2024
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration
HopGNN: Boosting Distributed GNN Training Efficiency via Feature-Centric Model Migration
Weijian Chen
Shuibing He
Haoyang Qu
Xuechen Zhang
GNN
63
0
0
01 Sep 2024
ProteinRPN: Towards Accurate Protein Function Prediction with Graph-Based Region Proposals
ProteinRPN: Towards Accurate Protein Function Prediction with Graph-Based Region Proposals
Shania Mitra
Lei Huang
Manolis Kellis
ViT
35
0
0
01 Sep 2024
Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations
Reproducibility Study Of Learning Fair Graph Representations Via Automated Data Augmentations
Thijmen Nijdam
Juell Sprott
Taiki Papandreou-Lazos
Jurgen de Heus
56
0
0
31 Aug 2024
GSpect: Spectral Filtering for Cross-Scale Graph Classification
GSpect: Spectral Filtering for Cross-Scale Graph Classification
Xinming Zhang
Wenchuan Yang
Jiawei Feng
Bitao Dai
Tianci Bu
Xin Lu
61
2
0
31 Aug 2024
CW-CNN & CW-AN: Convolutional Networks and Attention Networks for CW-Complexes
CW-CNN & CW-AN: Convolutional Networks and Attention Networks for CW-Complexes
Rahul Khorana
65
0
0
29 Aug 2024
HLogformer: A Hierarchical Transformer for Representing Log Data
HLogformer: A Hierarchical Transformer for Representing Log Data
Zhichao Hou
Mina Ghashami
Mikhail Kuznetsov
MohamadAli Torkamani
61
0
0
29 Aug 2024
TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis
TempoKGAT: A Novel Graph Attention Network Approach for Temporal Graph Analysis
Lena Sasal
Daniel Busby
Abdenour Hadid
56
1
0
29 Aug 2024
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data
TG-PhyNN: An Enhanced Physically-Aware Graph Neural Network framework for forecasting Spatio-Temporal Data
Zakaria Elabid
Lena Sasal
Daniel Busby
Abdenour Hadid
AI4CE
76
1
0
29 Aug 2024
A GREAT Architecture for Edge-Based Graph Problems Like TSP
A GREAT Architecture for Edge-Based Graph Problems Like TSP
Attila Lischka
Filip Rydin
Jiaming Wu
M. Chehreghani
Balázs Kulcsár
49
3
0
29 Aug 2024
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic Segmentation
Junbao Zhou
Jilin Mei
Pengze Wu
Liang Chen
Fangzhou Zhao
Xijun Zhao
Yu Hu
3DPC
76
0
0
28 Aug 2024
Graph Attention Inference of Network Topology in Multi-Agent Systems
Graph Attention Inference of Network Topology in Multi-Agent Systems
Akshay Kolli
Reza Azadeh
Kshitj Jerath
GNN
53
1
0
27 Aug 2024
RGDA-DDI: Residual graph attention network and dual-attention based framework for drug-drug interaction prediction
RGDA-DDI: Residual graph attention network and dual-attention based framework for drug-drug interaction prediction
Changjian Zhou
Xin Zhang
Jiafeng Li
Jia Song
Wensheng Xiang
50
0
0
27 Aug 2024
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Chidaksh Ravuru
Geethan Sannidhi
Venkataramana Runkana
77
0
0
27 Aug 2024
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysis
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
97
1
0
27 Aug 2024
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration
SiHGNN: Leveraging Properties of Semantic Graphs for Efficient HGNN Acceleration
Runzhen Xue
Yurui Lai
Dengke Han
Zhimin Tang
Mingyu Yan
Xiaochun Ye
GNN
51
0
0
27 Aug 2024
Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection
Hierarchical Graph Interaction Transformer with Dynamic Token Clustering for Camouflaged Object Detection
Siyuan Yao
Hao Sun
Tian-Zhu Xiang
Xiao Wang
Xiaochun Cao
81
12
0
27 Aug 2024
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
Cross-Modal Learning for Chemistry Property Prediction: Large Language Models Meet Graph Machine Learning
Sakhinana Sagar Srinivas
Venkataramana Runkana
AI4CE
73
2
0
27 Aug 2024
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment Analysis
GSIFN: A Graph-Structured and Interlaced-Masked Multimodal Transformer-based Fusion Network for Multimodal Sentiment Analysis
Yijie Jin
51
0
0
27 Aug 2024
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model
XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model
Yasir Ali Farrukh
S. Wali
I. Khan
Nathaniel D. Bastian
461
3
0
27 Aug 2024
FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification under Environment Shifts
FG-SAT: Efficient Flow Graph for Encrypted Traffic Classification under Environment Shifts
Susu Cui
Xueying Han
Dongqi Han
Zhiliang Wang
Weihang Wang
Yun Li
Bo Jiang
Baoxu Liu
Zhigang Lu
29
1
0
26 Aug 2024
Towards Graph Prompt Learning: A Survey and Beyond
Towards Graph Prompt Learning: A Survey and Beyond
Qingqing Long
Yuchen Yan
Peiyan Zhang
Chen Fang
Wentao Cui
...
Shiyue Jiang
Zheng Fang
Chong Chen
Xian-Sheng Hua
Yuanchun Zhou
AI4CE
73
1
0
26 Aug 2024
Exploring the Potential of Large Language Models for Heterophilic Graphs
Exploring the Potential of Large Language Models for Heterophilic Graphs
Yuxia Wu
Shujie Li
Yuan Fang
Chuan Shi
145
3
0
26 Aug 2024
Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection
Optimizing Luxury Vehicle Dealership Networks: A Graph Neural Network Approach to Site Selection
Luca Silvano Carocci
Qiwei Han
59
0
0
25 Aug 2024
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
RoCP-GNN: Robust Conformal Prediction for Graph Neural Networks in Node-Classification
S. Akansha
70
0
0
25 Aug 2024
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
Duo Wang
Yuan Zuo
Fengzhi Li
Junjie Wu
66
19
0
25 Aug 2024
Neural Spacetimes for DAG Representation Learning
Neural Spacetimes for DAG Representation Learning
Haitz Sáez de Ocáriz Borde
Anastasis Kratsios
Marc T. Law
Xiaowen Dong
Michael Bronstein
CML
140
2
0
25 Aug 2024
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Models
Sakhinana Sagar Srinivas
Geethan Sannidhi
Venkataramana Runkana
99
0
0
24 Aug 2024
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models
Sakhinana Sagar Srinivas
Geethan Sannidhi
Sreeja Gangasani
Chidaksh Ravuru
Venkataramana Runkana
99
0
0
24 Aug 2024
GNN: Graph Neural Network and Large Language Model for Data Discovery
GNN: Graph Neural Network and Large Language Model for Data Discovery
Thomas Hoang
32
1
0
24 Aug 2024
HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation
HRGraph: Leveraging LLMs for HR Data Knowledge Graphs with Information Propagation-based Job Recommendation
Azmine Toushik Wasi
48
3
0
24 Aug 2024
Disentangled Generative Graph Representation Learning
Disentangled Generative Graph Representation Learning
Xinyue Hu
Zhibin Duan
Xinyang Liu
Yuxin Li
Bo Chen
Mingyuan Zhou
118
0
0
24 Aug 2024
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples
Zhenyu Wang
John H. L. Hansen
AAML
81
1
0
23 Aug 2024
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption
Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoption
Sakhinana Sagar Srinivas
Chidaksh Ravuru
Geethan Sannidhi
Venkataramana Runkana
66
0
0
23 Aug 2024
Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving
Knowledge Graph Modeling-Driven Large Language Model Operating System (LLM OS) for Task Automation in Process Engineering Problem-Solving
Sakhinana Sagar Srinivas
Vijay Sri Vaikunth
Venkataramana Runkana
60
1
0
23 Aug 2024
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
Amirhossein Nouranizadeh
Fatemeh Tabatabaei Far
Mohammad Rahmati
AI4TS
68
2
0
22 Aug 2024
Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation
Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation
Ali Falahati
Mohammad Mohammadi Amiri
29
1
0
22 Aug 2024
Advanced atom-level representations for protein flexibility prediction utilizing graph neural networks
Advanced atom-level representations for protein flexibility prediction utilizing graph neural networks
Sina Sarparast
Aldo Zaimi
Maximilian Ebert
Michael-Rock Goldsmith
AI4CE
61
1
0
22 Aug 2024
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
Rank and Align: Towards Effective Source-free Graph Domain Adaptation
Junyu Luo
Zhiping Xiao
Yifan Wang
Xiao Luo
Jingyang Yuan
Wei Ju
Langechuan Liu
Ming Zhang
84
8
0
22 Aug 2024
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance
Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance
Chusheng Zeng
Bocheng Wang
Jinghui Yuan
Rong Wang
Mulin. Chen
70
0
0
22 Aug 2024
Cell-ontology guided transcriptome foundation model
Cell-ontology guided transcriptome foundation model
Xinyu Yuan
Zhihao Zhan
Zuobai Zhang
Manqi Zhou
Jianan Zhao
Boyu Han
Yue Li
Jian Tang
134
2
0
22 Aug 2024
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction
Rong Han
Xiaohong Liu
Tong Pan
Jing Xu
Xiaoyu Wang
...
Zhenyu Li
Zixuan Wang
Jiangning Song
Guangyu Wang
Ting Chen
92
2
0
21 Aug 2024
Graph Classification via Reference Distribution Learning: Theory and Practice
Graph Classification via Reference Distribution Learning: Theory and Practice
Zixiao Wang
Jicong Fan
55
0
0
21 Aug 2024
Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation
Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation
Ajay Chatterjee
Srikanth Ranganathan
126
0
0
21 Aug 2024
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Sreeja Gangasani
Venkataramana Runkana
100
2
0
21 Aug 2024
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models
SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models
Yang Cao
140
2
0
21 Aug 2024
Modeling Reference-dependent Choices with Graph Neural Networks
Modeling Reference-dependent Choices with Graph Neural Networks
Liang Zhang
Guannan Liu
Junjie Wu
Yong Tan
HAI
41
0
0
21 Aug 2024
EMCNet : Graph-Nets for Electron Micrographs Classification
EMCNet : Graph-Nets for Electron Micrographs Classification
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Venkataramana Runkana
89
0
0
21 Aug 2024
GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs
GraphFSA: A Finite State Automaton Framework for Algorithmic Learning on Graphs
Florian Grötschla
Joël Mathys
Christoffer Raun
Roger Wattenhofer
77
1
0
20 Aug 2024
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization
GAIM: Attacking Graph Neural Networks via Adversarial Influence Maximization
Xiaodong Yang
Xiaoting Li
Huiyuan Chen
Yiwei Cai
AAML
50
0
0
20 Aug 2024

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